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Learning Computer Science, programming, or mathematics can feel challenging at first, especially when concepts are explained too quickly or without enough practical examples. My goal is to make these topics clearer, more approachable, and easier to apply. As a Computer Science graduate with further study in Financial Technology, I have a strong academic and practical background in programming, mathematics-related logic, databases, data analysis, and software development. My university studies were mainly conducted in English, and I am familiar with Python, Java, JavaScript, TypeScript, SQL, R, Excel, web development, automation, and data processing. Lessons are patient, structured, and tailored to each student’s level. Instead of simply memorising answers, students will be guided to understand the logic behind each problem, break questions down step by step, and build confidence in solving similar problems independently. Support is available for Computer Science, ICT, programming languages, mathematics-related topics, homework, coursework, exam preparation, and school or personal coding projects. For students who want to go further, guidance can also be provided on building personal projects, preparing a coding portfolio, improving a CV, practising for technical interviews, and planning for future study or careers in technology. IELTS preparation support is also available, including listening, reading, writing, speaking practice, exam strategies, and study planning. With an IELTS Academic Overall Band 8.0, including 9.0 in Listening and 9.0 in Reading, practical preparation methods can be shared from real exam experience. SAT Math support is also available, supported by a SAT score of 1420, including 780 in Math. Students can expect clear explanations, self-prepared notes, practice questions, coding examples, revision materials, and a learning pace adjusted to their goals. The aim is not only to improve grades, but also to help students become more confident, independent, and prepared for future academic or career opportunities.

本人為香港城市大學畢業生 主修電子通訊工程 中學時擅長物理和數學科 現時在IT界有逾10年工作經驗 精通程式設計（包括java,c++,python,Javascript,nodejs,react等等）精通SQL, Data analysis 可教授科目包括：物理，數學，電腦，編程，數據庫，數據科學

Hello! 我係香港大學雙學士畢業生. 我修讀IB文憑取得37/45分,當中中文,英文,數學,物理同經濟都有6分(7分滿分). 我有多年既小學全科,數學,IB既補習經驗.

香港浸會大學畢業，擁有 10 年以上專業軟件工程師及開發經驗。深諳數理邏輯對於未來科技發展的重要性，擅長將抽象的「數字概念」與實際的「程式開發」完美結合。 【核心課程】 • 數理邏輯訓練：專攻小一至小三數學，用工程師的嚴謹邏輯破解數學難題。 • 編程與代碼啟蒙：教授程式設計基礎、演算法、資料結構，為學生建立穩固的電腦科學根基。 • 未來科技體驗：率先引入 AI Generative Development（生成式 AI 開發） 教學，指導學生如何正確且高效地運用 AI 協助編程，贏在人工智能時代的起跑線上。 【導師承諾】 本人極具熱誠與耐性，明白不同年齡層學生的學習痛點。課堂會配合生動的實例與業界應用，提升學生的學習興趣與思維能力。能為學生量身訂製教材，並在課後提供 WhatsApp 問書與技術指導，是家長為子女培養未來科技技能的信心之選。 Graduated from Hong Kong Baptist University, I am a professional software engineer with 10+ years of development experience. I excel at bridging the gap between abstract math and practical coding to nurture future tech talents. 【Core Curriculums】 • Math Logic (P1–P3): Using an engineer's logical approach to simplify math and build strong foundational skills for young learners. • Coding Foundation: Teaching programming fundamentals, algorithms, and data structures to build a solid Computer Science baseline. • Generative AI Dev: Guiding students to use AI tools correctly and efficiently in coding, staying ahead in the AI era. 【My Commitment】 Patient and passionate, I use real-world examples and custom materials to boost interest and critical thinking. Free after-class Q&A support via WhatsApp is provided.